A proof-of-concept shows variational autoencoders impute missing cable ages with accuracy competitive to, but not clearly better than, classical imputation methods.
Enhancing distribution grid failure data by leveraging ai-driven text classification: A danish case study,
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Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders
A proof-of-concept shows variational autoencoders impute missing cable ages with accuracy competitive to, but not clearly better than, classical imputation methods.